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Computationally efficient method for analyzing guard channel schemes

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Abstract

Call admission control (CAC) is important for cellular wireless networks in order to provide quality of service (QoS) requirements to users. Guard channel scheme is one of the CAC schemes. There are different computational models for analyzing the guard channel scheme which make unrealistic assumption of exponential distribution for both call holding duration and cell residence time for computational tractability. On the other hand, there are some more realistic models for guard channel schemes which capture general distributions of call holding duration and cell residence time by phase type distributions but are computationally cumbersome to implement. The state-spaces of the Markov chains for those models make the computation intractable. In this paper, we develop a tractable computational model to analyze guard channel scheme with general cell residence time and call holding duration captured by phase type distributions. We make our mathematical model computationally tractable by keeping track of the number of calls in different phases of the channel holding time instead of the phase of the channel holding time of individual calls.

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References

  1. Ahmed, M. H. (2005). Call admission control in wireless networks: a comprehensive survey. IEEE Communications Surveys & Tutorials, 7(1), 49–68.

    Article  Google Scholar 

  2. Alfa, A. S., & Li, W. (2002). A homogeneous PCS network with Markov call arrival process and phase type cell residence time. Wireless Networks, 8(6), 597–605.

    Article  Google Scholar 

  3. Fang, Y., Chlamtac, I., & Lin, Y.-B. (1998). Channel occupancy times and handoff rate for mobile computing and PCS networks. IEEE Transactions on Computers, 47(6), 679–692.

    Article  Google Scholar 

  4. Gaver, D. P., Jacobs, P. A., & Latouche, G. (1984). Finite birth-and-death models in randomly changing environments. Advances in Applied Probability, 16(4), 715–731.

    Article  Google Scholar 

  5. Ghaderi, M., & Boutaba, R. (2005). Call admission control in mobile cellular networks: a comprehensive survey. International Journal on Wireless Communications and Mobile Computing, 6(1), 193–207.

    Google Scholar 

  6. Ghaderi, M., & Boutaba, R. (2006). Call admission control for voice/data integration in broadband wireless networks. IEEE Transactions on Mobile Computing, 5(3), 193–207.

    Article  Google Scholar 

  7. Guerin, R. A. (1988). Queueing-blocking system with two arrival streams and guard channels. IEEE Transactions on Communications, 36(2), 153–163.

    Article  Google Scholar 

  8. Haring, G., Marie, R., Puigjaner, R., & Trivedi, K. (2001). Loss formulas and their application to optimization for cellular networks. IEEE Transactions on Vehicular Technology, 50(3), 664–673.

    Article  Google Scholar 

  9. Hong, D., & Rappaport, S. S. (1986). Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures. IEEE Transactions on Vehicular Technology, 35(3), 77–92.

    Article  Google Scholar 

  10. Jayasuriya, A., Green, D., & Asenstorfer, J. (2001). Modelling service time distribution in cellular networks using phase-type service distributions. In IEEE international conference on communications (Vol. 2, pp. 440–444) June 2001.

  11. Leong, C. W., Zhuang, W., Cheng, Y., & Wang, L. (2004). Call admission control for integrated on/off voice and best-effort data services in mobile cellular communications. IEEE Transactions on Communications, 52(5), 778–790.

    Article  Google Scholar 

  12. Leong, C. W., Zhuang, W., Cheng, Y., & Wang, L. (2006). Optimal resource allocation and adaptive call admission control for voice/data integrated cellular networks. IEEE Transactions on Vehicular Technology, 55(2), 654–669.

    Article  Google Scholar 

  13. Levine, D. A., Akyildiz, I. F., & Naghshineh, M. (1997). A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept. IEEE/ACM Transactions on Networking, 5(1), 1–12.

    Article  Google Scholar 

  14. Lin, Y.-B., Mohan, S., & Noerpel, A. (1994). Analyzing the trade-off between implementation costs and performance PCS channel assignment strategies for hand-off and initial access. IEEE Personal Communications, 1(3), 47–56.

    Article  Google Scholar 

  15. Mišić, J., Chanson, S. T., & Lai, F. S. (1997). Event based resource estimation in admission control for wireless networks with heterogeneous traffic. ACM SIGMOBILE Mobile Computing and Communications Review, 1(4), 17–24.

    Article  Google Scholar 

  16. Naghshineh, M., & Schwartz, M. (1996). Distributed call admission control in mobile/wireless networks. IEEE Journal on Selected Areas in Communications, 14(4), 711–717.

    Article  Google Scholar 

  17. Orlik, P. V., & Rappaport, S. S. (1998). A model for teletraffic performance and channel holding time characterization in wireless cellular communication with general session and dwell time distributions. IEEE Journal on Selected Areas in Communications, 16(5), 788–803.

    Article  Google Scholar 

  18. Ramaswami, V., & Lucantoni, D. M. (1985). Algorithms for the multi-server queue with phase type service. Communications in Statistics—Stochastic Models, 1(3), 393–417.

    Article  Google Scholar 

  19. Ramjee, R., Towsley, D., & Nagarajan, R. (1997). On optimal call admission control in cellular networks. Wireless Networks, 3, 29–41.

    Article  Google Scholar 

  20. Tekinay, S., & Jabbari, B. (1992). A measurement-based prioritization scheme for handovers in mobile cellular networks. IEEE Journal on Selected Areas in Communications, 10(8), 1343–1350.

    Article  Google Scholar 

  21. Wilf, H. S. (1978). Combinatorial algorithms. New York: Academic Press.

    Google Scholar 

  22. Wu, S., Wong, K. Y. M., & Li, B. (2002). A dynamic call admission policy with precision QoS guarantee using stochastic control for mobile wireless networks. IEEE/ACM Transactions on Networking, 10(2), 257–271.

    Article  Google Scholar 

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Correspondence to Attahiru Sule Alfa.

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Rahman, M.M., Alfa, A.S. Computationally efficient method for analyzing guard channel schemes. Telecommun Syst 41, 1–11 (2009). https://doi.org/10.1007/s11235-009-9146-0

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